Journal article
An inventory-theory-based interval stochastic programming method and its application to Beijing’s electric-power system planning
Abstract
In this study, an inventory-theory-based interval stochastic programming (IB-ISP) model is proposed through incorporating stochastic programming and interval parameters within an inventory model. IB-ISP can tackle uncertainties expressed as probability density functions (PDFs) and interval parameters in constraints and objective function. The developed IB-ISP is then applied to planning electric-power generation system of Beijing. Support …
Authors
Zhang ZL; Li YP; Huang GH
Journal
International Journal of Electrical Power & Energy Systems, Vol. 62, , pp. 429–440
Publisher
Elsevier
Publication Date
November 2014
DOI
10.1016/j.ijepes.2014.04.060
ISSN
0142-0615